Waste management is becoming an important issue to protect our environment. The issues in the field have attracted many researchers in recent years. The automatic classification of waste is one of the most important issues. In recent years, with the advances in computer vision and deep learning, the classification of waste has obtained promising results. The paper presents a method to classify waste bottles using image processing and advanced deep neural networks. The image processing aims to improve the quality of input images. The Vision of Transformer (ViT), an advanced deep neural network, is applied to improve classification accuracy. Moreover, dimensional reduction techniques are used to efficiently visualize the feature extraction of the deep neural networks. Obtained results of 91% for the classification of bottles and the performance comparison with existing methods has shown the effectiveness of our proposed method.